Model Context Protocol (MCP) Bridge

The Model Context Protocol (MCP) is the connective tissue that powers intelligent task orchestration within PrivAI. It serves as the standardized coordination framework that allows AI Agents to interact seamlessly with both on-chain smart contracts and off-chain data sources — all while preserving privacy, execution context, and operational integrity.

In decentralized environments, one of the most persistent challenges is the lack of structure for managing complex, cross-domain interactions. Traditional oracles bring data on-chain, but they don’t provide context. AI models require much more: they need access to not just raw data, but also operational metadata, intent framing, input/output rules, and execution conditions. MCP solves this problem by acting as a multi-directional bridge that handles not only data transmission, but full contextual alignment between AI logic, blockchain infrastructure, and external information systems.

Within PrivAI’s architecture, MCP ensures that every AI Agent has the tools it needs to:

• Understand where a task originates (e.g., chain, dApp, user role)

• Identify what data it is allowed to access, and under what conditions

• Process inputs and retain task memory for multi-step workflows

• Interact with TEEs, cross-chain bridges, and DApp interfaces as needed

• Format and deliver outputs in a secure, privacy-compliant, and interoperable way